What does it take to be a data scientist at Facebook?
Table of Contents
What does it take to be a data scientist at Facebook?
It requires a multi skill set of data analysis, product intuition, SQL coding, and a lot of communication with business and key stakeholders. Generally focused on the business side rather than engineering, the Facebook data science role is generally more like a product analyst and analytics job at many other companies.
What do data scientists do in Facebook?
A Facebook data scientist is a professional who uses their statistical analysis, machine learning, programming, and data visualization skills to help Facebook product teams make better decisions and understand user behavior. They basically influence the key decision-making that takes place regarding Facebook products.
What are Facebook recruiters looking for in a data scientist?
Generally, the Facebook recruiters are looking for experienced data scientists with at least a few years of experience on the candidate’s resume. If you find yourself not being selected for onsite interviews, check us out at Interview Query for a resume review to help out with that.
What is the onsite interview process like at Facebook?
The onsite interview at Facebook is a quick 2.5 hours long with little breaks in-between each interview. You’ll be meeting with four different data scientists for 30 minutes each within four different types of interviews. You’ll also spend 1:1 time with a Data Scientist during your break to learn more about their life at Facebook.
What is product sense and analytics in a Facebook interview?
Product Sense and Analytics. The technical screen is with a data scientist on the Facebook team over a video chat. For the product sense and analytical questions, the interviewer will gauge how you solve business questions and problems, as well as how creative and articulate you are at thinking through these problems while solving them.
What programming language should I use for the Facebook analyst interview?
Pseudo code is not acceptable for this portion of the interview as they want to see real SQL or pandas code being written. It’s highly suggested to write in SQL as this is the language that all of the analysts and data scientists use at Facebook.